编写算法:打印具有下面规律的图形。
1
5 2
8 6 3
10 9 7 4
输入:手动输入n
输出:格式输出n行
思路:
1.定义100x100的二维数组并给其赋值
a30 | a31 | a32 | a33 |
a20 | a21 | a22 | |
a10 | a11 | | |
a00 | | | |
赋值方式:
从最后一行开始赋值,第一行赋值n个第二行n-2第i行n-i;
for(i=n-1;i>=0;i--)
{
for(j=0;j<=i;j++)
{
a[i][j]=k;k++;
}
}
输出:
第一行输出1个第i行输出i个
观察上面的表格得出输出规律:
1:a30
2:a20,a31
3:a10,a21,a31
n:a(n+1)0.......a(n+j)
#include<stdio.h>
void main()
{
int a[100][100],i,j,n;
int k=1,g=1;
printf("输入显示行数:");
scanf("%d",&n);
//给数组赋值
for(i=n-1;i>=0;i--)
{
for(j=0;j<=i;j++)
{
a[i][j]=k;k++;
}
}
//printf("%d\n",a[2][0]);
for(i=n-1;i>=0;i--)
{
for(j=0;j<g;j++)
{printf(" %4d",a[i+j][j]);}
printf("\n");g++;
}
}
<img 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" 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